Computer Science Homework Help

Question: Santander Bank Case Study

Write a formal report on your findings from the last several weeks for the classification of the Santander Bank Case Study.

The main objective is to write a fully executed R-Markdown program performing classification using the best models found for logistic regression, SVM, Random Forest and XGBoost algorithms, and comparing the values of their cost functions and accuracy scores.

Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes.

Please note that all code assignments must be submitted as a screenshot with a slice of your desktop showing the timestamp.

Put the screenshots in a word document, make sure to comment the code (explain what it does) and interpret the graph if applicable(explain what its depicting)

Course :Machine learning

Reference: 1. https://www.kaggle.com/c/santander-customer-satisf..

2. https://www.kaggle.com/c/santander-customer-satisf…

3. https://drive.google.com/file/d/1dh0qqXsyYlPaQ-FZI… (I have uploaded in the drive)